Tim Butcher

1.2k citations
32 papers · 625 · h-index 11

Impact in

Papers in

Tim Butcher

29 papers receiving 522 citations

Peers

Tim Butcher
Comparison fields: 5 of 89
  • Management Information Systems 206
  • Strategy and Management 227
  • Industrial and Manufacturing Engineering 98
  • Architecture 13
  • Management of Technology and Innovation 52
Replace Marjan Sarshar with:
Marjan Sarshar United Kingdom
Scott Fernie United Kingdom
Ronald Gleich Germany
Renato Lopes Da Costa Portugal
Aki Jääskeläinen Finland
A. Zafer Acar Türkiye
Konrad Janusz Peszynski Australia
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Citations per field
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Citations per year

Countries citing papers authored by Tim Butcher

Since Specialization
Citations

This map shows the geographic impact of Tim Butcher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Butcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Butcher more than expected).

Fields of papers citing papers by Tim Butcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Butcher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Butcher. The network helps show where Tim Butcher may publish in the future.

Co-authors

The 21 scholars most cited alongside Tim Butcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Butcher Line = papers co-authored together Tim Butcher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global Logistics and Supply Chain Management
2008249
2 201867
3 201755
4 201446
5
Blood River: A Journey to Africa's Broken Heart
200741
6 200718
7 201318
8 201316
9 201315
10 200912
11 201611
12 200711
13
Beyond Equality: The Place of Aboriginal Culture in the Australian Game of Football
20169
14 20128
15 20128
16 20097
17 20235
18 20105
19 20074
20 20144

About Tim Butcher

Tim Butcher is a scholar working on Management Information Systems, Strategy and Management, Sociology and Political Science, Media Technology and Organizational Behavior and Human Resource Management, having authored 32 papers that have together received 625 indexed citations. Recurring topics across this work include Quality and Supply Management (5 papers), Outsourcing and Supply Chain Management (4 papers), Facilities and Workplace Management (3 papers), Sport and Mega-Event Impacts (3 papers), Innovation and Knowledge Management (3 papers), Management and Organizational Studies (3 papers), RFID technology advancements (3 papers) and Food Supply Chain Traceability (2 papers). The work is most often cited by research in Management Information Systems (206 citations), Strategy and Management (227 citations), Industrial and Manufacturing Engineering (98 citations), Architecture (13 citations) and Management of Technology and Innovation (52 citations). Tim Butcher has collaborated with scholars based in Australia, United Kingdom and Spain. Frequent co-authors include John Mangan, Chandra Lalwani, Prem Chhetri, Brian Corbitt, Peter H. Tatham, Gyöngyi Kovács, Yong Chun Wu, Ashish Dwivedi, Barry Judd and David Bruce Grant. Their work appears in journals such as International Journal of Agile Systems and Management, Australian aboriginal studies, Human Factors and Ergonomics in Manufacturing & Service Industries, Organization and Journal of Applied Polymer Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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